Hassan Ashfaq · imagine-talent

Email

—

Phone

—

GitHub

—

Academic

Program

BSCS

CGPA

—

Year

2023

Education

SEECS

Address

—

DOB

—

Career

Current role

—

Target role

—

Skills

PyTorch, Tensor Flow, OpenCV, Flask, Flutter, AWS Cloud, Python

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

Group Members
Hassan Ashfaq 19I-1708
Abdullah 19I-1772
Majid Ahmad Khan 19I-1796
Polyglot Interpreter
Objective
Polyglot Interpreter automatically detect and extract multilingual handwritten text from hotel feedback forms in order to preserve data and gain meaningful insight from it.
Architecture
Hotel Feedback Form
Timeline
Literature Review
Prepare Dataset
Prepare Template Application
Nov - Dec
Train OCR models
Train language model
Develop application
Jan - Mar
Select the best model
Storing in database
Integrate in the application
Apr - May
Application testing
Deploy on AWS
Completing Research Paper
Sep - Oct
Tools
Flask
Flutter
OpenCV
aws
PyTorch
Technology Used:
PyTorch, Tensor Flow, OpenCV, Flask, Flutter, AWS Cloud, Python
Supervisor Name:
Mr. Muhammad Asif Naeem
Group Members:
Hassan Ashfaq (i19 - 1708)
Abdullah (i19 - 1772)
Majid Ahmad Khan (i19 - 1796)

AI enrichment

Hassan Ashfaq is a BSCS student who worked on a group project involving multilingual handwritten text extraction using OCR and machine learning. The project utilized PyTorch, TensorFlow, OpenCV, Flask, and Flutter to build an application deployed on AWS.

Skills (AI)

["Python", "PyTorch", "TensorFlow", "OpenCV", "Flask", "Flutter", "AWS", "OCR", "Machine Learning"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 507
Created: 1778169248